Abhay Mishra

Software Engineer

New Delhi, Delhi, India4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved Specialist rank on Codeforces.
4-star rank on CodeChef and Knight on Leetcode.
Led technical events as Joint Secretary of Coding Club.

Stackforce AI infers this person is a Full-stack Developer with a focus on AI solutions in the SaaS industry.

Contact

Skills

Core Skills

Full-stack DevelopmentAi Development

Other Skills

AlgorithmsApache SupersetBack-End Web DevelopmentC (Programming Language)C++Competitive ProgrammingComputer NetworkingData StructuresDatabase Management System (DBMS)ExpressJSGenerative AIGitHubJavaJavaScriptMaterial-UI

About

I am Abhay Mishra, currently a fourth-year undergrad pursuing Bachelor of Technology in Computer Science and Engineering from Indian Institute of Information Technology, Vadodara. Strengths in full-stack development, data structures, and competitive programming, Algorithms. Proficient in building scalable and efficient solutions using technologies such as NodeJS, React, MongoDB, ExpressJS, Generative AI, Python, and MySQL. As a coding enthusiast, I am an active participant in competitive programming and have achieved the rank of Specialist on Codeforces, 4-star on CodeChef, and Knight on Leetcode. Outside of coding, I have also demonstrated leadership as the Joint Secretary of my college's Coding Club, organizing technical events and fostering collaboration with industry partners. I am always eager to learn, innovate, and contribute to impactful projects in the tech world. Let's connect to discuss opportunities and ideas!

Experience

4 mos

Total Experience

4 mos

Average Tenure

Current Experience

Myl ai

Software Developer

Jan 2025 – Jun 2025 · 5 mos · Remote

Worked on building an AI-powered Text-to-Visualization system that enables users to generate charts and dashboards using natural language queries. Integrated semantic search using pgvector for dataset matching, and leveraged LangGraph and dbt for dynamic SQL generation. Automated chart creation and modification in Apache Superset via REST APIs. Implemented Retrieval-Augmented Generation (RAG) to ground LLM responses in enterprise data, enhancing the accuracy and usability of generated visualizations.

NodeJSReactMongoDBExpressJSGenerative AIPython+5